Staged Training Report ✓ Complete

Run ID: shoulder_session_10_min_2
Generated: 2026-02-16 02:32:18
Stages Completed: 1
Total Elapsed Time: 04:37:46

Configuration

Config Defaults Changed Since Last Commit

ParameterPreviousCurrent
batch_size 1 4
divergence_min_updates 5 10
divergence_patience 20 50
runs_per_stage 1 5
val_plateau_patience 100 250
All Configuration Parameters (60 parameters)
ParameterValue
total_samples10000000
batch_size4
stage_samples_multiplier100000000000
update_interval250
window_size100
num_best_models_to_keep1
sampling_modeLoss-weighted
loss_weight_temperature0.5
loss_weight_refresh_interval50
stop_on_divergenceTrue
divergence_gap0.002
divergence_ratio1.5
divergence_patience50
divergence_min_updates10
val_spike_threshold2.0
val_spike_window15
val_spike_frequency0.75
val_plateau_patience250
val_plateau_min_delta0.0001
custom_lr0.0001
disable_lr_scalingTrue
custom_warmup-1
lr_min_ratio0.001
resume_warmup_ratio0.05
plateau_factor0.8
plateau_patience15
preserve_optimizerFalse
preserve_schedulerTrue
samples_modeTrain additional samples
num_random_obs_to_visualize2
selected_frame_offset3
runs_per_stage5
serial_runsTrue
clean_old_checkpointsTrue
enable_baselineFalse
baseline_runs_per_stage1
run_idshoulder_session_10_min_2
enable_wandbTrue
wandb_projectdevelopmental-robot-movement
lr_sweep.lr_min1e-07
lr_sweep.lr_max0.01
lr_sweep.phase_a_num_candidates5
lr_sweep.phase_a_seeds1
lr_sweep.phase_a_time_budget_min3.0
lr_sweep.phase_a_survivor_count2
lr_sweep.phase_b_seeds3
lr_sweep.phase_b_time_budget_min10.0
lr_sweep.ranking_metricmedian_best_val
lr_sweep.min_samples_before_timeout1000
lr_sweep.min_evals_before_stop5
lr_sweep.save_sweep_stateTrue
plateau_sweep.enabledTrue
plateau_sweep.plateau_ema_alpha0.9
plateau_sweep.plateau_improvement_threshold0.0005
plateau_sweep.plateau_patience25
plateau_sweep.cooldown_updates5
plateau_sweep.max_sweeps_per_stage2
plateau_sweep.min_sweep_improvement0.0
initial_sweep_enabledTrue
stage_time_budget_min180

Timing Summary

Stage Plateau Sweeps Sweep Time Training Time Stage Total
Stage 1 2 00:27:59 00:07:58 00:35:58
TOTAL 2 00:27:59 00:07:58 00:35:58

Plateau Sweep Details

Total Sweeps: 2
Stages with Sweeps: 1 of 1
Total Sweep Time: 00:27:59
Average Sweep Duration: 00:13:59

Stage 1: 2 sweeps

LR Progression: 5.6e-04 → 5.6e-04 → 5.6e-04

Sweep # Triggered At (samples) Wall Time Selected LR Duration
1 23,184 00:03:56 5.62e-04 00:13:59
2 32,256 00:19:27 5.62e-04 00:13:59

Stage Results

Stage Best Loss Stop Reason Samples Trained Time Sweeps LR (Initial→Final)
Stage 1 0.023405 divergence 14,868 00:35:58 2 5.6e-04

Total Plateau Sweeps: 2

Stop Reason Breakdown

Loss Across Full Training Run

Loss Detail (Post Initial Drop)

Multi-Run Statistics

Total Runs: 5
Average Best Loss: 0.026134 ± 0.002308
Best Overall: 0.023405
Worst Overall: 0.029210

Stage 1 (5 runs)

Run Best Loss Stop Reason Samples Time Selected
1 0.023670 max_sweeps (2) 13,104 00:51:56
2 0.028031 max_sweeps (2) 10,584 01:20:29
3 0.029210 max_sweeps (2) 8,568 00:35:56
4 0.026355 max_sweeps (2) 11,844 00:56:48
5 0.023405 divergence 14,868 00:35:58
Mean: 0.026134 ± 0.002308 Min: 0.023405 / Max: 0.029210 Range: 0.005805

Best Checkpoint

Name: best_model_auto_session_so101_ep0000_20260215_092819_shoulder_session_10_min_2_00045864_cont_val_0.023405.pth
Stage: 1
Hybrid Loss (full session): 0.017344

Learning Rate Timeline with Plateau Sweeps

Stage Progression

Stage Orig Loss Train Loss Time Samples Stop Reason
1 ⭐ 0.017344 0.023405 00:35:58 14868 divergence

Hybrid Loss Over Original Session (per Stage)

Stage 1 (Best) - Hybrid Loss: 0.017344

Sample Counts

Cumulative Across All Stages

Per Stage

Stage 1 (Best) - Total Samples: 14,868

Best Checkpoint Inference

Selected Frame 3

Action 0

Action 1

Action 2

Random Observations

Observation 378

Action 0
Action 1
Action 2

Observation 198

Action 0
Action 1
Action 2